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This study investigates whether there are differences in the outcomes of three different treatments for anxiety. The treatment conditions that are compared are treatment with medication, treatment with psychotherapy, and placebo (inactive pills). In addition, we want to see if gender of the client moderates the effects of the treatment. Every participant had been diagnosed with similar types and severity of anxiety disorders when they entered the study. Each participant was randomly assigned only to one of the three treatment conditions. After 12-weeks of treatment (or placebo), all participants completed two questionnaires to measure worry and general emotion. The higher the scores on these measures, the higher the anxiety level of the participant. 5. Perform a factorial MANOVA on the data. Before interpreting the multivariate results of the MANOVA, check outcomes that test other assumptions for this statistic: equality of covariance matrices (see Box's Test) and sufficient correlation among the DVs (see Bartlett's Test of Sphericity). Also check the results of the Levene's Test of Equality of Error Variances to evaluate that assumption for the univariate ANOVAs that are run and show in the Tests of Between-Subjects Effects output. What have you found about whether the data meet these additional assumptions for the MANOVA and follow-up ANOVAs? Explain. 6. What are the outcomes of the multivariate tests (main effects and interaction)? Report either the Pillai's Trace or Wilks's Lambda for each result, as well as the associated F-value and its statistical significance. Use the following format for notation to report each result: Pillai's Trace OR Wilks' lambda = ____; F(df, df) = ____, p = ____. 7. Given the results of the multivariate tests, would you now move on to interpret the results of the Tests of Between-Subjects Tests? If yes, what are the results and what do they mean? (Report each of the results using the format of F(df, df) = _____, p = _____ , ?2 = _____.)
Suppose South Korea can produce 100 computer chips with 10 hours of labor input and 50 bed linens with 6 hours of labor input. The US can produce 100 computer chips with 8 hours of labor input and 50 bed linens with 4 hours of labor input.
question 1nbsp calculating a z-score and graphing a box plotnbsplook at the data under dietarysupp.nbsp the table gives
A local ice-cream store receives an average of 3 customers per hour. Assume that the arrival events are well described by Poisson distribution. The cashier wants to leave the store to run an errand. The manager computes the expected time T between..
1. What techniques are used to solve decision making problems under uncertainty? Which technique results is an optimistic decision? Which techniques results in pessimistic decision? Give examples of each.
Minimize the production cost and the optimal order quantity is cartons of milk, and the average inventory is about cartons - variable cost of making
question 1 a package delivery service claims that no more than 5 percent of all packages arrive at the address late.
Decision Trees are graphic displays of the decision process. When do you feel it is appropriate to use decision trees?
Produce a short report to update your manager on both the method and results of your analysis and the introduction od 'Six Sigma'.
What is the General Linear Model (GLM)? Why does it matter and compare and contrast parametric and nonparametric statistics. Why and in what types of cases would you use one over the other?
task 1hrh king of zamunda gathered gruesome data on deaths of his people from fire accidents in the last n2000 years
Analyze the processed data in Statistical survey.
Design and sketch an average control chart, showing upper and lower design limits, upper and lower action limits, and nominal value. Calculate and state the range control limit value.
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